Tech Stack

Description

You will join SeatGeek's Data team to own the analytics data layer, extracting data from production databases and third-party sources, architecting efficient data models, and orchestrating jobs in Airflow. You'll collaborate with analysts and engineers to enable data-driven decision-making across the company.

Requirements

• 2+ years in Analytics, Data, or Software Engineering
• Experience with DBT, databricks, or similar SQL-transformation tool
• Expert-level SQL, proficiency in Python
• Experience with large datasets and stakeholder interfacing
• Expert communication skills

Responsibilities

• Develop data pipelines using SQL and Python ETL frameworks
• Collaborate with stakeholders to understand data use cases
• Architect and QA performant data models in data warehouse
• Assist in triaging on-call requests
• Partner with leadership on BI tooling strategy